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Institution

University of New Hampshire

EducationDurham, New Hampshire, United States
About: University of New Hampshire is a education organization based out in Durham, New Hampshire, United States. It is known for research contribution in the topics: Population & Solar wind. The organization has 9379 authors who have published 24025 publications receiving 1020112 citations. The organization is also known as: UNH.


Papers
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Journal ArticleDOI
TL;DR: The concept of emergent group leaders is introduced in this article, where an emergent leader is able to assume a leadership role by making an interpretation of the emotional response that best serves the group's needs, and then modeling that response.
Abstract: This article proposes a new role for emergent group leaders, that of the manager of group emotions. This description of leadership suggests that individual group members take leadership by providing certainty and direction during times of ambiguity. They are able to assume a leadership role by making an interpretation of the emotional response that best serves the group's needs, and then modeling that response. By modeling a particular emotional response, the leader resolves ambiguity and catalyzes the group to act. Simultaneously, they are able to increase group solidarity by creating shared emotion within the group and communal action. The idea of leadership as group emotional management is not tied to one specific individual, but rather, allows leadership to be enacted by different group members at different times. Leader emergence and leader success would be subject to several conditions, such as the emergent leader's degree of empathy, group norms of emotional expression, and ambiguous feedback regarding the group's performance. Qualitative analysis of group observation reveals several examples of group emotional management that are used to develop the concept. Implications for theory and practice are discussed.

377 citations

Journal ArticleDOI
TL;DR: In this article, a model of the global troposphere was used to examine the pre-industrial and contemporary quantities and spatial patterns of wet and dry NOy and NHX deposition.
Abstract: Increases and expansion of anthropogenic emissions of both oxidized nitrogen compounds, NOX, and a reduced nitrogen compound, NH3, have driven an increase in nitrogen deposition. We estimate global NOX and NH3 emissions and use a model of the global troposphere, MOGUNTIA, to examine the pre-industrial and contemporary quantities and spatial patterns of wet and dry NOy and NHX deposition. Pre-industrial wet plus dry NOX and NHX deposition was greatest for tropical ecosystems, related to soil emissions, biomass burning and lightning emissions. Contemporary NOy + NHX wet and dry deposition onto Northern Hemisphere (NH) temperate ecosystems averages more than four times that of preindustrial N deposition and far exceeds contemporary tropical N deposition. All temperate and tropical biomes receive more N via deposition today than pre-industrially. Comparison of contemporary wet deposition model estimates to measurements of wet deposition reveal that modeled and measured wet deposition for both and were quite similar over the U.S. Over Western Europe, the model tended to underestimate wet deposition of and but bulk deposition measurements were comparable to modeled total deposition. For the U.S. and Western Europe, we also estimated N emission and deposition budgets. In the U.S., estimated emissions exceed interpolated total deposition by 3–6 Tg N, suggesting that substantial N is transported offshore and/or the remote and rural location of the sites may fail to capture the deposition of urban emissions. In Europe, by contrast, interpolated total N deposition balances estimated emissions within the uncertainty of each.

377 citations

Journal ArticleDOI
TL;DR: A reliable decrease in question difficulty attributable to cueing prepositional relations explicitly in the text was found, interpreted as supporting and extending the arguments emerging from various “schema theories”.
Abstract: To investigate the applicability of schema-theoretic notions to young children's comprehension of textually explicit and inferrable information, slightly above-average second grade readers with str...

376 citations

Journal ArticleDOI
TL;DR: The Conformity to Feminine Norms Inventory (CFNI) as mentioned in this paper was designed to assess women's conformity to an array of feminine norms found in the dominant culture in the United States.
Abstract: This article describes the construction of the Conformity to Feminine Norms Inventory (CFNI), which was designed to assess women’s conformity to an array of feminine norms found in the dominant culture in the United States. In addition, we present four studies in which the psychometric properties of the CFNI were examined. In Study 1, factor analysis indicated that the CFNI is comprised of eight distinct factors labeled as Nice in Relationships, Thinness, Modesty, Domestic, Care for Children, Romantic Relationship, Sexual Fidelity, and Invest in Appearance. Results from Study 2 indicated that the CFNI has strong internal consistency estimates and differentiates college women from college men. In addition, Study 2 demonstrated that the CFNI Total score and subscale scores relate to Bem Sex Role Inventory and Feminist Identity Development Scale scores in theoretically consistent patterns. Study 3 indicated that the CFNI Total score and several of the subscales significantly and positively relate to scores on the Eating Disorder Inventory. Finally, Study 4 demonstrated that the CFNI Total score and subscale scores have high test-retest estimates for a 2–3 week period. The discussion focuses on potential uses of the CFNI, limitations to the study, and suggestions for future research.

376 citations

Journal ArticleDOI
13 Feb 2014-Nature
TL;DR: It is shown that the apparent green up of Amazon forests in optical remote sensing data resulted from seasonal changes in near-infrared reflectance, an artefact of variations in sun-sensor geometry, and that correcting this bidirectional reflectance effect eliminated seasonally changes in surface reflectance.
Abstract: The seasonality of sunlight and rainfall regulates net primary production in tropical forests. Previous studies have suggested that light is more limiting than water for tropical forest productivity, consistent with greening of Amazon forests during the dry season in satellite data.We evaluated four potential mechanisms for the seasonal green-up phenomenon, including increases in leaf area or leaf reflectance, using a sophisticated radiative transfer model and independent satellite observations from lidar and optical sensors. Here we show that the apparent green up of Amazon forests in optical remote sensing data resulted from seasonal changes in near-infrared reflectance, an artefact of variations in sun-sensor geometry. Correcting this bidirectional reflectance effect eliminated seasonal changes in surface reflectance, consistent with independent lidar observations and model simulations with unchanging canopy properties. The stability of Amazon forest structure and reflectance over seasonal timescales challenges the paradigm of light-limited net primary production in Amazon forests and enhanced forest growth during drought conditions. Correcting optical remote sensing data for artefacts of sun-sensor geometry is essential to isolate the response of global vegetation to seasonal and interannual climate variability.

374 citations


Authors

Showing all 9489 results

NameH-indexPapersCitations
Derek R. Lovley16858295315
Peter B. Reich159790110377
Jerry M. Melillo13438368894
Katja Klein129149987817
David Finkelhor11738258094
Howard A. Stone114103364855
James O. Hill11353269636
Tadayuki Takahashi11293257501
Howard Eichenbaum10827944172
John D. Aber10720448500
Andrew W. Strong9956342475
Charles T. Driscoll9755437355
Andrew D. Richardson9428232850
Colin A. Chapman9249128217
Nicholas W. Lukacs9136734057
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202351
2022183
20211,148
20201,128
20191,140
20181,089